ElasticSearch

问题 Individual processors in an Elastic pipelines have an on_failure attribute. This allows you to handle a failure/error in a pipeline. The example in the docs show setting an additional field on your document. { "description" : "my first pipeline with handled exceptions", "processors" : [ { "rename" : { "field" : "foo", "to" : "bar", "on_failure" : [ { "set" : { "field" : "error.message", "value" : "{{ _ingest.on_failure_message }}" } } ] } } ] } Is it possible to tell the pipeline to SKIP

问题 I have an elasticsearch index containing documents that represent entities at a given point in time. When an entity changes state, a new document is created with a timestamp. When I need to get the current state of all entities, I can do the following: GET https://127.0.0.1:9200/myindex/_search { "collapse": { "field": "entity_id" }, "sort" : [{ "timestamp": { "order": "desc" } }] } However, I would like to further filter the result of the collapse. When entities are deleted I create a new

问题 I have been exploring Elastic Search lately. I have been going through aliases. I see ES provides an API to create multiple aliases to a single index like below: { "actions" : [{ "add" : { "indices" : ["test1", "test2"], "alias" : "alias1" } }] } Refer: https://www.elastic.co/guide/en/elasticsearch/reference/current/indices-aliases.html#indices-aliases I'm wondering what is the use case of this. Won't the queries on aliases get split if an alias point to multiple indices? I have tried getting

问题 Basically, I'm trying to find the duplicate contacts by first name, last name & email address. For that, I've tried to use composite aggregation with the fields firstName, lastName & emails.email, the response from the query has the values bucketed for non-nested fields(such as firstName & lastName), but the nested field emails.email doesn't have value at all -> it returns NULL: https://www.screencast.com/t/98CKr0I5 Am I missing something here? any help would be greatly appreciated. Below is

问题 I am using elasticsearch-py to insert data. Currently, my _id field is something like this: _id: "{'hostname': 'xxxxx', 'day': '2016-03-22', 'service': 'xxxxxxxx'}" My manager told me this is not a good id. I think it's ok. With ElasticSearch, can i have an id composed of several attributes ? Eg: _id: { hostname: "xxxxxx", day: "2016-03-22", service: "xxxxxxxx" } A second solution is to encode my string in base64 with python. 来源： https://stackoverflow.com/questions/36174474/elasticsearch

问题 Regularly the past days our ES 7.4 cluster (4 nodes) is giving read timeouts and is getting slower and slower when it comes to running certain management commands. Before that it has been running for more than a year without any trouble. For instance /_cat/nodes was taking 2 minutes yesterday to execute, today it is already taking 4 minutes. Server loads are low, memory usage seems fine, not sure where to look further. Using the opster.com online tool I managed to get some hint that the

问题 I have a couple of indexes in my Elasticsearch DB as follows Index_2019_01 Index_2019_02 Index_2019_03 Index_2019_04 . . Index_2019_12 Suppose I want to search only on the first 3 Indexes. I mean a regular expression like this: select count(*) from Index_2019_0[1-3] where LanguageId="English" What is the correct way to do that in Elasticsearch? 回答1: How can I query several indexes with certain names? This can be achieved via multi-index search, which is a built-in capability of Elasticsearch.

问题 I have a couple of indexes in my Elasticsearch DB as follows Index_2019_01 Index_2019_02 Index_2019_03 Index_2019_04 . . Index_2019_12 Suppose I want to search only on the first 3 Indexes. I mean a regular expression like this: select count(*) from Index_2019_0[1-3] where LanguageId="English" What is the correct way to do that in Elasticsearch? 回答1: How can I query several indexes with certain names? This can be achieved via multi-index search, which is a built-in capability of Elasticsearch.

问题 I have the following documents: south africa north africa I want to retrieve my "south africa" document from: s africa (a) southafrica (b) safrica (c) I defined the followings filters and analyzers: POST test_index { "settings": { "analysis": { "filter": { "synonym_filter": { "type": "synonym", "synonyms": [ "south,s", "north,n" ] }, "shingle_filter": { "type": "shingle", "min_shingle_size": 2, "max_shingle_size": 3, "token_separator": "" } }, "analyzer": { "my_shingle": { "type": "custom",

问题 I'm trying to query my dataset for two purposes: Match a term (resellable = true) Order the results by their price lowest to highest Data set/doc is: "data" : { "resellable" : true, "startingPrice" : 0, "id" : "4emEe_r_x5DRCc5", "buyNowPrice" : 0.006493, //Changes per object "sub_title" : "test 1", "title" : "test 1", "category" : "Education", } //THREE OBJECTS WITH THE VALUES OF 0.006, 0.7, 1.05 FOR BUYNOWPRICE I have three objects of these with different buyNowPrice Query with agg is: {